CN116151629A - Engineering safety supervision system and method based on artificial intelligence - Google Patents

Engineering safety supervision system and method based on artificial intelligence Download PDF

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CN116151629A
CN116151629A CN202310437148.0A CN202310437148A CN116151629A CN 116151629 A CN116151629 A CN 116151629A CN 202310437148 A CN202310437148 A CN 202310437148A CN 116151629 A CN116151629 A CN 116151629A
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孙庆芳
赵茵
郭帅帅
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Shandong Baitengyun Intelligent Technology Co ltd
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Abstract

The invention discloses an engineering safety supervision system and method based on artificial intelligence, and belongs to the technical field of engineering supervision. The construction links, safety measures and construction dangerous sources are comprehensively planned, and isolation of safety information is avoided; carrying out risk assessment on the construction links by combining the three-dimensional cross relation, calculating the risk value of the construction links, and carrying out abnormal classification on the construction links; the abnormal construction links are taken as safety linkage supervision centers, the relevance of the abnormal construction links and the non-abnormal construction links is analyzed, and the relevance value between safety information data is mined; the construction links are positioned in the working state, the implemented state and the non-implemented state, the real-time safety supervision level value is calculated, the real-time safety supervision level is output, the safety early warning is realized, and the risk situations before, during and after the event can be weighed integrally; and furthermore, the safety early warning of the internal implementation condition of the engineering is realized, meanwhile, a responsible person can quickly master the overall and local safety conditions of the engineering, and the external conditions of personnel flow are dealt with.

Description

Engineering safety supervision system and method based on artificial intelligence
Technical Field
The invention relates to the technical field of engineering supervision, in particular to an engineering safety supervision system and method based on artificial intelligence.
Background
The difficulty of engineering safety management is mainly reflected in the aspect of multi-dimensional unsafe factors, so that main contradictions in the construction process are needed to be grasped, accident-prone parts, procedures and links are found out, safety measures are taken, hidden dangers or unsafe factors on the parts, the procedures and the links are eliminated, and accidents are prevented;
in the patent of application publication date 2021.08.17, application number 202110514532.7 and named as a block chain-based engineering safety quality accident tracing method and device, a causal analysis chart is taken as a guide, a plurality of analysis dimensions are provided, when a user requests to analyze one dimension, factor information corresponding to the analysis dimension is loaded from a corresponding block of an engineering supervision block chain for the user to check, the user traces the engineering safety quality accident, the generated reasons are analyzed, meanwhile, the block chain technology is utilized to enable the factor information of each analysis dimension to be uploaded to the block chain for storage, so that related data information can be traced, convenience is provided for tracing the safety quality accident, and efficiency is improved; it can be known that in actual implementation, the patent only traces back on one analysis dimension aiming at one accident problem, and although a plurality of analysis dimensions are provided, each analysis dimension is in an isolated state, and in actual implementation, the individual dimension is also in an isolated trace back, so that the safety supervision mode ignores the mutual influence condition among unsafe factors, and meanwhile, although the trace back information can be stored through a blockchain technology, the storage mode is also stored based on the isolated dimension, and further no further mining value is generated for safety information data.
Disclosure of Invention
The invention aims to provide an engineering safety supervision system and method based on artificial intelligence so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme:
engineering safety supervision system based on artificial intelligence, this system includes: the system comprises a construction design information overall module, a risk assessment classification module, a correlation analysis module and a safety supervision grade analysis module;
the construction design information overall module is used for acquiring construction design information, overall planning construction links, safety measures and construction dangerous sources according to the construction design information, and generating a safety measure set and a construction dangerous source set;
the risk evaluation classification module is used for performing risk evaluation analysis on the construction links according to the safety measure set and the construction risk source set and calculating the risk value of the construction links; according to the risk value of the construction links, carrying out abnormal classification analysis on the construction links, and dividing the construction links into abnormal construction links and non-abnormal construction links;
the association analysis module is used for analyzing the association between the abnormal construction links and the non-abnormal construction links according to the classification result and calculating the association degree between the abnormal construction links and the non-abnormal construction links; according to the association degree, taking an abnormal construction link as a safety linkage supervision center to generate a safety supervision linkage set;
The safety supervision level analysis module is used for positioning the working, implemented and not implemented in the construction link according to the logging condition of the engineering implementation log and respectively generating a working locking set, an implemented locking set and a not implemented locking set by combining the safety supervision linkage set; and calculating a real-time safety supervision level value according to the working locking set, the implemented locking set and the non-implemented locking set, and outputting the real-time safety supervision level.
Further, the construction design information overall module further comprises a construction design information acquisition unit and a construction design information overall unit;
the construction design information acquisition unit is used for acquiring construction design information, wherein the construction design information comprises construction links, safety measures and construction hazard sources, one construction link corresponds to at least one safety measure, and one safety measure corresponds to at least one construction hazard source;
the construction design information overall unit is used for marking any construction link as A i Generating a safety measure set by all safety measures correspondingly contained in any construction link, and recording as SM (A) i )={SM 1 ，SM 2 ，...，SM k -a }; will be arbitraryThe security measure is denoted as SM j All construction hazard sources corresponding to any one safety measure are generated into a construction hazard source set which is recorded as CHS (SM j )={CHS 1 ，CHS 2 ，...，CHS P -a }; wherein i represents a construction link number, j represents a safety measure number, and SM 1 ，SM 2 ，...，SM k Represents, respectively, 1, 2..k safety measures, CHS 1 ，CHS 2 ，...，CHS P Respectively represent the 1 st, 2 nd.
Further, the risk assessment classification module further comprises a risk assessment unit and an abnormality classification unit;
the risk assessment unit carries out risk assessment on any construction link according to a construction hazard source and safety measures, calculates a risk value of the construction link, and a specific calculation formula is as follows:
RV(A i )=∑ j=1 k ∑ v=1 p {(p j /TN)*[NUM j (CHS v )/k i ]}
wherein RV (A) i ) Represents any one construction link A i Risk value, p j Represents a construction hazard set CHS (SM j ) The number of construction dangerous sources contained in the concrete is TN which represents any one construction link A i Total number of construction hazard sources contained and TN= Σ j=1 k p j ，p j =p，NUM j (CHS v ) Represents any construction hazard source CHS v Appears in the construction hazard source set CHS (SM j ) Total number, k, of other construction hazard source sets i Representing a Security measures set SM (A i ) Number of security measures contained in and k i =k；
The abnormal classification unit performs abnormal classification on the construction links according to the risk values of the construction links, and calculates an abnormal fluctuation value of any construction link, wherein a specific calculation formula is as follows:
EU(A i )=(2πα) -1/2 *exp{-[RV(A i )-β] 2 /(2α)}
Wherein EU (A) i ) Represents any one construction link A i Alpha and beta respectively represent the mean value and the variance of the risk value of the construction link;
presetting an abnormal fluctuation value threshold, if the abnormal fluctuation value EU (A) i ) If the abnormal fluctuation value threshold value is larger than or equal to the abnormal fluctuation value threshold value, classifying any one construction link as an abnormal construction link, otherwise classifying any one construction link as a non-abnormal construction link.
Further, the association analysis module further comprises an association degree calculation unit and an association analysis unit;
the association degree calculating unit is used for marking any abnormal construction link as YA x Any non-abnormal construction link is marked as FA y The method comprises the steps of carrying out a first treatment on the surface of the For any abnormal construction link YA x All construction hazard sources included are counted and an abnormal reference set is generated, and the abnormal reference set is recorded as AR (YA x ) For any non-abnormal construction link FA y All construction hazard sources contained are counted and an abnormal matching set is generated and recorded as EM (FA y ) The method comprises the steps of carrying out a first treatment on the surface of the According to the abnormal reference set and the abnormal matching set, calculating the association degree between any one non-abnormal construction link and any one abnormal construction link, wherein the specific calculation formula is as follows:
CD(FA y →YA x )={NUM[EM(FA y )∩AR(YA x )]/NUM[EM(FA y )∪AR(YA x )]}+NUM[AR(YA x )-EM(FA y )∩AR(YA x )]*NUM[EM(FA y )-EM(FA y )∩AR(YA x )]/NUM 2 [EM(FA y )∪AR(YA x )]
wherein, CD (FA y →YA x ) Representing any one non-abnormal construction link FA y Correlation YA with any abnormal construction link x ，NUM[EM(FA y )∩AR(YA x )]、NUM[EM(FA y )∪AR(YA x )]、NUM[AR(YA x )-EM(FA y )∩AR(YA x )]And NUM [ EM (FA) y )-EM(FA y )∩AR(YA x )]Respectively represent sets EM (FA y )∩AR(YA x ) Number of danger sources of middle construction, aggregate EM (FA y )∪AR(YA x ) Number of danger sources for middle construction, set AR (YA x )-EM(FA y )∩AR(YA x ) Number and aggregate of hazard sources for medium construction EM (FA y )-EM(FA y )∩AR(YA x ) The number of dangerous sources for middle construction;
the association analysis unit is used for calculating the association degree of any one non-abnormal construction link and each abnormal construction link, and associating the abnormal construction link with the non-abnormal construction link when the association degree is maximum; the abnormal construction link is taken as a safety linkage supervision center and is matched with the abnormal construction link YA x All non-abnormal construction links associated generate a safety supervision linkage set, denoted as LS (YA x )。
Further, the safety supervision level analysis module further comprises a construction link real-time state sensing unit and an artificial intelligent real-time safety supervision unit;
the construction link real-time state sensing unit is used for acquiring the engineering implementation log record condition in real time in the engineering implementation process and positioning the construction links which are in operation, implemented and not implemented according to the engineering implementation log record condition; locking the safety supervision linkage set according to the construction links which are in operation, implemented and not implemented respectively, and generating an in-operation locking set SLD (LS), an implemented locking set YLD (LS) and an un-implemented locking set WLD (LS) respectively;
The artificial intelligent real-time safety supervision unit calculates a real-time safety supervision grade value according to an ongoing operation locking set SLD (LS), an implemented locking set YLD (LS) and an un-implemented locking set WLD (LS), and the specific calculation formula is as follows:
SSL={NUM[WLD(LS)∩SLD(LS)]-NUM[YLD(LS)∩SLD(LS)]}/NUM[SLD(LS)]
wherein SSL represents a real-time security supervision level value, NUM [ WLD (LS) ≡sld (LS) ], NUM [ YLD (LS) ≡sld (LS) ] and NUM [ SLD (LS) ] represent the number of security supervision linkage sets contained in the sets WLD (LS) ≡sld (LS), YLD (LS) ≡sld (LS) and SLD (LS), respectively;
outputting the real-time safety supervision level.
An engineering safety supervision method based on artificial intelligence comprises the following steps:
step S100: acquiring construction design information, carrying out overall planning on construction links, safety measures and construction hazard sources according to the construction design information, and generating a safety measure set and a construction hazard source set;
step S200: according to the safety measure set and the construction dangerous source set, performing risk assessment analysis on the construction link, and calculating a risk value of the construction link; according to the risk value of the construction links, carrying out abnormal classification analysis on the construction links, and dividing the construction links into abnormal construction links and non-abnormal construction links;
step S300: according to the classification result, analyzing the relevance of the abnormal construction links and the non-abnormal construction links, and calculating the relevance of the abnormal construction links and the non-abnormal construction links; according to the association degree, taking an abnormal construction link as a safety linkage supervision center to generate a safety supervision linkage set;
Step S400: according to the log record condition of engineering implementation, positioning the construction links in operation, implemented and not implemented, and respectively generating an in-operation locking set, an implemented locking set and an un-implemented locking set by combining a safety supervision linkage set; and calculating a real-time safety supervision level value according to the working locking set, the implemented locking set and the non-implemented locking set, and outputting the real-time safety supervision level.
Further, the specific implementation process of the step S100 includes:
step S101: acquiring construction design information, wherein the construction design information comprises construction links, safety measures and construction hazard sources, one construction link corresponds to at least one safety measure, and one safety measure corresponds to at least one construction hazard source;
step S102: marking any construction link as A i Generating a safety measure set by all safety measures correspondingly contained in any construction link, and recording as SM (A) i )={SM 1 ，SM 2 ，...，SM k -a }; any one security measure is denoted as SM j Generating construction for all construction dangerous sources correspondingly contained in any one safety measureA set of hazard sources, denoted CHS (SM j )={CHS 1 ，CHS 2 ，...，CHS P -a }; wherein i represents a construction link number, j represents a safety measure number, and SM 1 ，SM 2 ，...，SM k Represents, respectively, 1, 2..k safety measures, CHS 1 ，CHS 2 ，...，CHS P Respectively representing 1, 2..p construction hazard sources;
according to the method, when safety supervision is carried out on engineering projects, corresponding safety measures are required to be formulated by combining construction links, meanwhile, the formulation of the safety measures is required to be based on the construction hazard sources for targeted formulation, and as the construction links are often carried out in a three-dimensional crossing manner, the same construction hazard sources are often also existed in different construction links, further, in the accident risk condition analysis process, an isolated analysis state cannot be formed, and in the causal relationship of the construction hazard sources, the safety measures and the construction links, isolated dimensionalities cannot be established for consideration; and then the invention is firstly based on construction dangerous sources to carry out overall summary on construction design information.
Further, the specific implementation process of the step S200 includes:
step S201: according to construction dangerous sources and safety measures, risk assessment is carried out on any construction link, and a risk value of the construction link is calculated, wherein a specific calculation formula is as follows:
RV(A i )=∑ j=1 k ∑ v=1 p {(p j /TN)*[NUM j (CHS v )/k i ]}
wherein RV (A) i ) Represents any one construction link A i Risk value, p j Represents a construction hazard set CHS (SM j ) The number of construction dangerous sources contained in the concrete is TN which represents any one construction link A i Total number of construction hazard sources contained and TN= Σ j=1 k p j ，p j =p，NUM j (CHS v ) Represents any construction hazard source CHS v Appears in the construction hazard source set CHS (SM j ) In other construction dangerous source setsTotal number of k i Representing a Security measures set SM (A i ) Number of security measures contained in and k i =k；
Step S202: according to the risk value of the construction links, carrying out abnormal classification on the construction links, and calculating the abnormal fluctuation value of any construction link, wherein the specific calculation formula is as follows:
EU(A i )=(2πα) -1/2 *exp{-[RV(A i )-β] 2 /(2α)}
wherein EU (A) i ) Represents any one construction link A i Alpha and beta respectively represent the mean value and the variance of the risk value of the construction link;
presetting an abnormal fluctuation value threshold, if the abnormal fluctuation value EU (A) i ) If the abnormal fluctuation value is larger than or equal to the abnormal fluctuation value threshold, classifying any one construction link as an abnormal construction link, otherwise classifying any one construction link as a non-abnormal construction link;
according to the method, a plurality of construction dangerous sources exist in one construction link, each construction dangerous source is provided with a specific safety measure, and meanwhile, as the construction links are in a three-dimensional crossing relationship, when risk assessment is carried out on one construction link, risk situations of other construction links are required to be weighed; equation p j TN represents the ratio of the number of construction dangerous sources in one safety measure to the total number of construction dangerous sources in one construction link, the larger the ratio is, the larger the risk probability of the safety measure in the construction link is, and the formula NUM is j (CHS v )/k i Representing the ratio of one construction hazard source in the safety measures in the construction links to the other construction links, wherein the larger the ratio is, the larger the risk probability of the construction hazard source is, so as to obtain the risk value of the construction link, and the larger the risk value is, the larger the risk probability of the construction link is; the abnormal fluctuation value calculation formula of the construction link can represent the abnormal fluctuation condition of the risk value, the larger the abnormal fluctuation value is, the greater the possibility that the construction link is abnormal is, and further the abnormal fluctuation value is calculated by combining all the construction links, and then the abnormal fluctuation value is communicatedAnd (5) crossing a threshold value to carry out overall classification on the construction links.
Further, the implementation process of the step S300 includes:
step S301: marking any abnormal construction link as YA x Any non-abnormal construction link is marked as FA y The method comprises the steps of carrying out a first treatment on the surface of the For any abnormal construction link YA x All construction hazard sources included are counted and an abnormal reference set is generated, and the abnormal reference set is recorded as AR (YA x ) For any non-abnormal construction link FA y All construction hazard sources contained are counted and an abnormal matching set is generated and recorded as EM (FA y )；
Step S302: according to the abnormal reference set and the abnormal matching set, calculating the association degree between any one non-abnormal construction link and any one abnormal construction link, wherein the specific calculation formula is as follows:
CD(FA y →YA x )={NUM[EM(FA y )∩AR(YA x )]/NUM[EM(FA y )∪AR(YA x )]}+NUM[AR(YA x )-EM(FA y )∩AR(YA x )]*NUM[EM(FA y )-EM(FA y )∩AR(YA x )]/NUM 2 [EM(FA y )∪AR(YA x )]
wherein, CD (FA y →YA x ) Representing any one non-abnormal construction link FA y Correlation YA with any abnormal construction link x ，NUM[EM(FA y )∩AR(YA x )]、NUM[EM(FA y )∪AR(YA x )]、NUM[AR(YA x )-EM(FA y )∩AR(YA x )]And NUM [ EM (FA) y )-EM(FA y )∩AR(YA x )]Respectively represent sets EM (FA y )∩AR(YA x ) Number of danger sources of middle construction, aggregate EM (FA y )∪AR(YA x ) Number of danger sources for middle construction, set AR (YA x )-EM(FA y )∩AR(YA x ) Number and aggregate of hazard sources for medium construction EM (FA y )-EM(FA y )∩AR(YA x ) The number of dangerous sources for middle construction;
step S303: calculating the association degree between any one non-abnormal construction link and each abnormal construction link, and associatingThe abnormal construction link and the non-abnormal construction link are associated when the degree is maximum; the abnormal construction link is taken as a safety linkage supervision center and is matched with the abnormal construction link YA x All non-abnormal construction links associated generate a safety supervision linkage set, denoted as LS (YA x )；
According to the method, the abnormal construction links are main contradiction points, the construction danger sources are used for carrying out association analysis on the abnormal construction links and the non-abnormal construction links, the association value between safety information data is further mined, for the construction links with association, the construction danger sources with association are essential, and when one construction link is in a problem, the other construction link is often caused to be in a problem, and meanwhile, the linkage supervision effect can be formed in the safety supervision process; and then the abnormal construction links are used as a safety linkage supervision center to generate a safety supervision linkage set.
Further, the specific implementation process of the step S400 includes:
step S401: in the process of engineering implementation, acquiring engineering implementation log record conditions in real time, and positioning to construction links which are in operation, implemented and not implemented according to the engineering implementation log record conditions; locking the safety supervision linkage set according to the construction links which are in operation, implemented and not implemented respectively, and generating an in-operation locking set SLD (LS), an implemented locking set YLD (LS) and an un-implemented locking set WLD (LS) respectively;
step S402: according to the working locking set SLD (LS), the implemented locking set YLD (LS) and the non-implemented locking set WLD (LS), the real-time security supervision level value is calculated according to the following specific calculation formula:
SSL={NUM[WLD(LS)∩SLD(LS)]-NUM[YLD(LS)∩SLD(LS)]}/NUM[SLD(LS)]
wherein SSL represents a real-time security supervision level value, NUM [ WLD (LS) ≡sld (LS) ], NUM [ YLD (LS) ≡sld (LS) ] and NUM [ SLD (LS) ] represent the number of security supervision linkage sets contained in the sets WLD (LS) ≡sld (LS), YLD (LS) ≡sld (LS) and SLD (LS), respectively;
outputting a real-time safety supervision level;
according to the method, engineering safety supervision cannot be limited to post information tracing, but risk situations of pre-occurrence, in-occurrence and post-occurrence are weighed integrally, wherein the pre-occurrence corresponds to an implemented state, the in-occurrence corresponds to an operating state, the post-occurrence corresponds to an un-implemented state, the pre-occurrence and post-occurrence are integrally analyzed by taking the operating state as an intermediate bridge, and the larger the real-time safety supervision grade value is, the larger the probability that a node has risks at the current construction time is, and the further the risk grade is also larger; meanwhile, engineering operators can master the overall and local safety conditions of engineering only through the working locking set, the implemented locking set and the non-implemented locking set.
Compared with the prior art, the invention has the following beneficial effects: in the engineering safety supervision system and method based on artificial intelligence, the construction links, safety measures and construction dangerous sources are comprehensively planned, and safety information isolation is avoided; carrying out risk assessment on the construction links by combining the three-dimensional cross relation, calculating the risk value of the construction links, and carrying out abnormal classification on the construction links; the abnormal construction links are taken as safety linkage supervision centers, the relevance of the abnormal construction links and the non-abnormal construction links is analyzed, and the relevance value between safety information data is mined; the construction links are positioned in the working state, the implemented state and the non-implemented state, the real-time safety supervision level value is calculated, the real-time safety supervision level is output, the safety early warning is realized, and the risk situations before, during and after the event can be weighed integrally; and furthermore, the safety early warning of the internal implementation condition of the engineering is realized, meanwhile, a responsible person can quickly master the overall and local safety conditions of the engineering, and the external conditions of personnel flow are dealt with.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of an engineering safety supervision system based on artificial intelligence according to the present invention;
FIG. 2 is a schematic diagram of the steps of an artificial intelligence based engineering safety supervision method according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, the present invention provides the following technical solutions:
referring to fig. 1, in a first embodiment: there is provided an artificial intelligence based engineering safety supervision system, the system comprising: the system comprises a construction design information overall module, a risk assessment classification module, a correlation analysis module and a safety supervision grade analysis module;
the construction design information overall module is used for acquiring construction design information, carrying out overall planning on construction links, safety measures and construction dangerous sources according to the construction design information, and generating a safety measure set and a construction dangerous source set;
The construction design information overall module further comprises a construction design information acquisition unit and a construction design information overall unit;
the construction design information acquisition unit is used for acquiring construction design information, wherein the construction design information comprises construction links, safety measures and construction hazard sources, one construction link corresponds to at least one safety measure, and one safety measure corresponds to at least one construction hazard source;
the construction design information overall unit is used for marking any construction link as A i Generating a safety measure set by all safety measures correspondingly contained in any construction link, and recording as SM (A) i )={SM 1 ，SM 2 ，...，SM k -a }; any one security measure is denoted as SM j All construction hazard sources corresponding to any one safety measure are generated into a construction hazard source set which is recorded as CHS (SM j )={CHS 1 ，CHS 2 ，...，CHS P -a }; wherein i isRepresenting construction link number, j representing security measure number, SM 1 ，SM 2 ，...，SM k Represents, respectively, 1, 2..k safety measures, CHS 1 ，CHS 2 ，...，CHS P Respectively representing 1, 2..p construction hazard sources;
the risk evaluation classification module is used for performing risk evaluation analysis on the construction links according to the safety measure set and the construction risk source set and calculating the risk value of the construction links; according to the risk value of the construction links, carrying out abnormal classification analysis on the construction links, and dividing the construction links into abnormal construction links and non-abnormal construction links;
The risk assessment classification module further comprises a risk assessment unit and an abnormality classification unit;
the risk assessment unit is used for carrying out risk assessment on any construction link according to the construction hazard source and the safety measures, and calculating the risk value of the construction link, wherein the specific calculation formula is as follows:
RV(A i )=∑ j=1 k ∑ v=1 p {(p j /TN)*[NUM j (CHS v )/k i ]}
wherein RV (A) i ) Represents any one construction link A i Risk value, p j Represents a construction hazard set CHS (SM j ) The number of construction dangerous sources contained in the concrete is TN which represents any one construction link A i Total number of construction hazard sources contained and TN= Σ j=1 k p j ，p j =p，NUM j (CHS v ) Represents any construction hazard source CHS v Appears in the construction hazard source set CHS (SM j ) Total number, k, of other construction hazard source sets i Representing a Security measures set SM (A i ) Number of security measures contained in and k i =k；
The abnormal classification unit is used for carrying out abnormal classification on the construction links according to the risk values of the construction links, and calculating the abnormal fluctuation value of any construction link, wherein the specific calculation formula is as follows:
EU(A i )=(2πα) -1/2 *exp{-[RV(A i )-β] 2 /(2α)}
wherein EU (A) i ) Represents any one construction link A i Alpha and beta respectively represent the mean value and the variance of the risk value of the construction link;
presetting an abnormal fluctuation value threshold, if the abnormal fluctuation value EU (A) i ) If the abnormal fluctuation value is larger than or equal to the abnormal fluctuation value threshold, classifying any one construction link as an abnormal construction link, otherwise classifying any one construction link as a non-abnormal construction link;
the association analysis module is used for analyzing the association between the abnormal construction links and the non-abnormal construction links according to the classification result and calculating the association degree between the abnormal construction links and the non-abnormal construction links; according to the association degree, taking an abnormal construction link as a safety linkage supervision center to generate a safety supervision linkage set;
the association analysis module further comprises an association degree calculation unit and an association analysis unit;
a relevance calculating unit for marking any abnormal construction link as YA x Any non-abnormal construction link is marked as FA y The method comprises the steps of carrying out a first treatment on the surface of the For any abnormal construction link YA x All construction hazard sources included are counted and an abnormal reference set is generated, and the abnormal reference set is recorded as AR (YA x ) For any non-abnormal construction link FA y All construction hazard sources contained are counted and an abnormal matching set is generated and recorded as EM (FA y ) The method comprises the steps of carrying out a first treatment on the surface of the According to the abnormal reference set and the abnormal matching set, calculating the association degree between any one non-abnormal construction link and any one abnormal construction link, wherein the specific calculation formula is as follows:
CD(FA y →YA x )={NUM[EM(FA y )∩AR(YA x )]/NUM[EM(FA y )∪AR(YA x )]}+NUM[AR(YA x )-EM(FA y )∩AR(YA x )]*NUM[EM(FA y )-EM(FA y )∩AR(YA x )]/NUM 2 [EM(FA y )∪AR(YA x )]
Wherein, CD (FA y →YA x ) Representing any one non-abnormal construction link FA y With any one abnormalityAssociation degree YA of construction links x ，NUM[EM(FA y )∩AR(YA x )]、NUM[EM(FA y )∪AR(YA x )]、NUM[AR(YA x )-EM(FA y )∩AR(YA x )]And NUM [ EM (FA) y )-EM(FA y )∩AR(YA x )]Respectively represent sets EM (FA y )∩AR(YA x ) Number of danger sources of middle construction, aggregate EM (FA y )∪AR(YA x ) Number of danger sources for middle construction, set AR (YA x )-EM(FA y )∩AR(YA x ) Number and aggregate of hazard sources for medium construction EM (FA y )-EM(FA y )∩AR(YA x ) The number of dangerous sources for middle construction;
the association analysis unit is used for calculating the association degree of any non-abnormal construction link and each abnormal construction link, and associating the abnormal construction link with the non-abnormal construction link when the association degree is maximum; the abnormal construction link is taken as a safety linkage supervision center and is matched with the abnormal construction link YA x All non-abnormal construction links associated generate a safety supervision linkage set, denoted as LS (YA x )；
The safety supervision level analysis module is used for positioning the working, implemented and un-implemented construction links according to the logging condition of engineering implementation log and respectively generating a working locking set, an implemented locking set and an un-implemented locking set by combining the safety supervision linkage set; calculating a real-time safety supervision level value according to the in-operation locking set, the implemented locking set and the non-implemented locking set, and outputting a real-time safety supervision level;
The safety supervision level analysis module further comprises a construction link real-time state sensing unit and an artificial intelligent real-time safety supervision unit;
the construction link real-time state sensing unit is used for acquiring the engineering implementation log record condition in real time in the engineering implementation process and positioning the construction links which are in operation, implemented and not implemented according to the engineering implementation log record condition; locking the safety supervision linkage set according to the construction links which are in operation, implemented and not implemented respectively, and generating an in-operation locking set SLD (LS), an implemented locking set YLD (LS) and an un-implemented locking set WLD (LS) respectively;
the artificial intelligent real-time safety supervision unit calculates a real-time safety supervision grade value according to an ongoing operation locking set SLD (LS), an implemented locking set YLD (LS) and an un-implemented locking set WLD (LS), and the specific calculation formula is as follows:
SSL={NUM[WLD(LS)∩SLD(LS)]-NUM[YLD(LS)∩SLD(LS)]}/NUM[SLD(LS)]
wherein SSL represents a real-time security supervision level value, NUM [ WLD (LS) ≡sld (LS) ], NUM [ YLD (LS) ≡sld (LS) ] and NUM [ SLD (LS) ] represent the number of security supervision linkage sets contained in the sets WLD (LS) ≡sld (LS), YLD (LS) ≡sld (LS) and SLD (LS), respectively;
outputting the real-time safety supervision level.
Referring to fig. 2, in the second embodiment: an engineering safety supervision method based on artificial intelligence is provided, and the method comprises the following steps:
Acquiring construction design information, carrying out overall planning on construction links, safety measures and construction hazard sources according to the construction design information, and generating a safety measure set and a construction hazard source set;
acquiring construction design information, wherein the construction design information comprises construction links, safety measures and construction hazard sources, one construction link corresponds to at least one safety measure, and one safety measure corresponds to at least one construction hazard source;
marking any construction link as A i Generating a safety measure set by all safety measures correspondingly contained in any construction link, and recording as SM (A) i )={SM 1 ，SM 2 ，...，SM k -a }; any one security measure is denoted as SM j All construction hazard sources corresponding to any one safety measure are generated into a construction hazard source set which is recorded as CHS (SM j )={CHS 1 ，CHS 2 ，...，CHS P -a }; wherein i represents a construction link number, j represents a safety measure number, and SM 1 ，SM 2 ，...，SM k Represents, respectively, 1, 2..k safety measures, CHS 1 ，CHS 2 ，...，CHS P Respectively represent 1, 2..p constructionA hazard source;
for example, the system receives comprehensive design information of engineering projects, and performs overall planning on construction design information to obtain 10 construction links, wherein 5 safety measures exist in the construction links 1, and each of the safety measures 1 and 2 comprises { danger source 1, danger source 2, danger source 3, danger source 4} and { danger source 1, danger source 2, danger source 3, danger source 5 and danger source 6};
According to the safety measure set and the construction dangerous source set, performing risk assessment analysis on the construction link, and calculating a risk value of the construction link; according to the risk value of the construction links, carrying out abnormal classification analysis on the construction links, and dividing the construction links into abnormal construction links and non-abnormal construction links;
according to construction dangerous sources and safety measures, risk assessment is carried out on any construction link, and a risk value of the construction link is calculated, wherein a specific calculation formula is as follows:
RV(A i )=∑ j=1 k ∑ v=1 p {(p j /TN)*[NUM j (CHS v )/k i ]}
wherein RV (A) i ) Represents any one construction link A i Risk value, p j Represents a construction hazard set CHS (SM j ) The number of construction dangerous sources contained in the concrete is TN which represents any one construction link A i Total number of construction hazard sources contained and TN= Σ j=1 k p j ，p j =p，NUM j (CHS v ) Represents any construction hazard source CHS v Appears in the construction hazard source set CHS (SM j ) Total number, k, of other construction hazard source sets i Representing a Security measures set SM (A i ) Number of security measures contained in and k i =k；
For example, if the number of construction hazard sources included in safety measure 1 is 4, then p 1 =4; the total number of the dangerous sources 1 in the construction links 2-10 is 6, NUM j (CHS v )=6，k 1 =10；
According to the risk value of the construction links, carrying out abnormal classification on the construction links, and calculating the abnormal fluctuation value of any construction link, wherein the specific calculation formula is as follows:
EU(A i )=(2πα) -1/2 *exp{-[RV(A i )-β] 2 /(2α)}
Wherein EU (A) i ) Represents any one construction link A i Alpha and beta respectively represent the mean value and the variance of the risk value of the construction link;
presetting an abnormal fluctuation value threshold, if the abnormal fluctuation value EU (A) i ) If the abnormal fluctuation value is larger than or equal to the abnormal fluctuation value threshold, classifying any one construction link as an abnormal construction link, otherwise classifying any one construction link as a non-abnormal construction link;
according to the classification result, analyzing the relevance of the abnormal construction links and the non-abnormal construction links, and calculating the relevance of the abnormal construction links and the non-abnormal construction links; according to the association degree, taking an abnormal construction link as a safety linkage supervision center to generate a safety supervision linkage set;
marking any abnormal construction link as YA x Any non-abnormal construction link is marked as FA y The method comprises the steps of carrying out a first treatment on the surface of the For any abnormal construction link YA x All construction hazard sources included are counted and an abnormal reference set is generated, and the abnormal reference set is recorded as AR (YA x ) For any non-abnormal construction link FA y All construction hazard sources contained are counted and an abnormal matching set is generated and recorded as EM (FA y )；
According to the abnormal reference set and the abnormal matching set, calculating the association degree between any one non-abnormal construction link and any one abnormal construction link, wherein the specific calculation formula is as follows:
CD(FA y →YA x )={NUM[EM(FA y )∩AR(YA x )]/NUM[EM(FA y )∪AR(YA x )]}+NUM[AR(YA x )-EM(FA y )∩AR(YA x )]*NUM[EM(FA y )-EM(FA y )∩AR(YA x )]/NUM 2 [EM(FA y )∪AR(YA x )]
Wherein, CD (FA y →YA x ) Representing any one non-abnormal construction link FA y Correlation YA with any abnormal construction link x ，NUM[EM(FA y )∩AR(YA x )]、NUM[EM(FA y )∪AR(YA x )]、NUM[AR(YA x )-EM(FA y )∩AR(YA x )]And NUM [ EM (FA) y )-EM(FA y )∩AR(YA x )]Respectively represent sets EM (FA y )∩AR(YA x ) Number of danger sources of middle construction, aggregate EM (FA y )∪AR(YA x ) Number of danger sources for middle construction, set AR (YA x )-EM(FA y )∩AR(YA x ) Number and aggregate of hazard sources for medium construction EM (FA y )-EM(FA y )∩AR(YA x ) The number of dangerous sources for middle construction;
calculating the association degree of any non-abnormal construction link and each abnormal construction link, and associating the abnormal construction link with the non-abnormal construction link when the association degree is maximum; the abnormal construction link is taken as a safety linkage supervision center and is matched with the abnormal construction link YA x All non-abnormal construction links associated generate a safety supervision linkage set, denoted as LS (YA x )；
For example, through correlation analysis, the security supervision linkage is obtained by: LS (construction link 2) = { construction link 1, construction link 3, construction link 6}, LS (construction link 5) = { construction link 4, construction link 9} and LS (construction link 8) = { construction link 7, construction link 10};
according to the log record condition of engineering implementation, positioning the construction links in operation, implemented and not implemented, and respectively generating an in-operation locking set, an implemented locking set and an un-implemented locking set by combining a safety supervision linkage set; calculating a real-time safety supervision level value according to the in-operation locking set, the implemented locking set and the non-implemented locking set, and outputting a real-time safety supervision level;
In the process of engineering implementation, acquiring engineering implementation log record conditions in real time, and positioning to construction links which are in operation, implemented and not implemented according to the engineering implementation log record conditions; locking the safety supervision linkage set according to the construction links which are in operation, implemented and not implemented respectively, and generating an in-operation locking set SLD (LS), an implemented locking set YLD (LS) and an un-implemented locking set WLD (LS) respectively;
according to the working locking set SLD (LS), the implemented locking set YLD (LS) and the non-implemented locking set WLD (LS), the real-time security supervision level value is calculated according to the following specific calculation formula:
SSL={NUM[WLD(LS)∩SLD(LS)]-NUM[YLD(LS)∩SLD(LS)]}/NUM[SLD(LS)]
wherein SSL represents a real-time security supervision level value, NUM [ WLD (LS) ≡sld (LS) ], NUM [ YLD (LS) ≡sld (LS) ] and NUM [ SLD (LS) ] represent the number of security supervision linkage sets contained in the sets WLD (LS) ≡sld (LS), YLD (LS) ≡sld (LS) and SLD (LS), respectively;
outputting a real-time safety supervision level;
for example, according to the real-time log record condition of the engineering, at the current time node, the construction links positioned to be operated are { construction link 1, construction link 2, construction link 4}, the constructed construction links are { construction link 3, construction link 5}, and the rest of construction links 6-10 are non-construction links; locking the safety supervision linkage set to obtain a locking set SLD (construction link 1, construction link 2, construction link 4) = { LS (construction link 2), LS (construction link 5) }, locking set YLD (construction link 3, construction link 5) = { LS (construction link 2), LS (construction link 5) }, locking set WLD (construction link 6-10) = { LS (construction link 2), LS (construction link 5), LS (construction link 8) }, NUM [ WLD (LS) } SLD (LS) ]=2, NUM [ YLD (LS) & gtSLD (LS) ]=2 and NUM [ SLD (LS) ]=2, SSL=0/2=0, the real-time safety supervision level is 0, which means that when safety supervision is conducted on the constructed links, the risks of the construction links under operation are already verified, namely, the abnormal construction links 2 and 5, and the abnormal construction links associated with the abnormal construction links are 1, 3, 4, 6 and 9, and the abnormal construction links occupy the current safety supervision level of the safety supervision level is not high, and the abnormal construction level is not normally occupied by the current safety supervision level is high, and the abnormal construction level is not normally associated with the abnormal construction link 8.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention and is not intended to limit the present invention, but although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the technical solutions described in the foregoing embodiments, or equivalents may be substituted for some of the technical features thereof. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. An engineering safety supervision method based on artificial intelligence is characterized by comprising the following steps:
step S100: acquiring construction design information, carrying out overall planning on construction links, safety measures and construction hazard sources according to the construction design information, and generating a safety measure set and a construction hazard source set;
step S200: according to the safety measure set and the construction dangerous source set, performing risk assessment analysis on the construction link, and calculating a risk value of the construction link; according to the risk value of the construction links, carrying out abnormal classification analysis on the construction links, and dividing the construction links into abnormal construction links and non-abnormal construction links;
step S300: according to the classification result, analyzing the relevance of the abnormal construction links and the non-abnormal construction links, and calculating the relevance of the abnormal construction links and the non-abnormal construction links; according to the association degree, taking an abnormal construction link as a safety linkage supervision center to generate a safety supervision linkage set;
step S400: according to the log record condition of engineering implementation, positioning the construction links in operation, implemented and not implemented, and respectively generating an in-operation locking set, an implemented locking set and an un-implemented locking set by combining a safety supervision linkage set; and calculating a real-time safety supervision level value according to the working locking set, the implemented locking set and the non-implemented locking set, and outputting the real-time safety supervision level.
2. The engineering safety supervision method based on artificial intelligence according to claim 1, wherein the specific implementation process of step S100 includes:
step S101: acquiring construction design information, wherein the construction design information comprises construction links, safety measures and construction hazard sources, one construction link corresponds to at least one safety measure, and one safety measure corresponds to at least one construction hazard source;
step S102: marking any construction link as A i Generating a safety measure set by all safety measures correspondingly contained in any construction link, and recording as SM (A) i )={SM 1 ，SM 2 ，...，SM k -a }; any one security measure is denoted as SM j All construction hazard sources corresponding to any one safety measure are generated into a construction hazard source set which is recorded as CHS (SM j )={CHS 1 ，CHS 2 ，...，CHS P -a }; wherein i represents a construction link number, j represents a safety measure number, and SM 1 ，SM 2 ，...，SM k Represents, respectively, 1, 2..k safety measures, CHS 1 ，CHS 2 ，...，CHS P Respectively represent the 1 st, 2 nd.
3. The engineering safety supervision method based on artificial intelligence according to claim 2, wherein the implementation process of step S200 includes:
step S201: according to construction dangerous sources and safety measures, risk assessment is carried out on any construction link, and a risk value of the construction link is calculated, wherein a specific calculation formula is as follows:
RV(A i )=∑ j=1 k ∑ v=1 p {(p j /TN)*[NUM j (CHS v )/k i ]}
Wherein RV (A) i ) Represents any one construction link A i Risk value, p j Represents a construction hazard set CHS (SM j ) The number of construction dangerous sources contained in the concrete is TN which represents any one construction link A i Total number of construction hazard sources contained and TN= Σ j=1 k p j ，p j =p，NUM j (CHS v ) Represents any construction hazard source CHS v Appears in the construction hazard source set CHS (SM j ) Total number, k, of other construction hazard source sets i Representing a Security measures set SM (A i ) Number of security measures contained in and k i =k；
Step S202: according to the risk value of the construction links, carrying out abnormal classification on the construction links, and calculating the abnormal fluctuation value of any construction link, wherein the specific calculation formula is as follows:
EU(A i )=(2πα) -1/2 *exp{-[RV(A i )-β] 2 /(2α)}
wherein EU (A) i ) Represents any one construction link A i Alpha and beta respectively represent the mean value and the variance of the risk value of the construction link;
presetting an abnormal fluctuation value threshold, if the abnormal fluctuation value EU (A) i ) If the abnormal fluctuation value threshold value is larger than or equal to the abnormal fluctuation value threshold value, classifying any one construction link as an abnormal construction link, otherwise classifying any one construction link as a non-abnormal construction link.
4. The engineering safety supervision method based on artificial intelligence according to claim 3, wherein the implementation process of the step S300 includes:
Step S301: marking any abnormal construction link as YA x Any non-abnormal construction link is marked as FA y The method comprises the steps of carrying out a first treatment on the surface of the For any abnormal construction link YA x All construction hazard sources included are counted and an abnormal reference set is generated, and the abnormal reference set is recorded as AR (YA x ) For any non-abnormal construction link FA y All construction hazard sources contained are counted and an abnormal matching set is generated and recorded as EM (FA y )；
Step S302: according to the abnormal reference set and the abnormal matching set, calculating the association degree between any one non-abnormal construction link and any one abnormal construction link, wherein the specific calculation formula is as follows:
CD(FA y →YA x )={NUM[EM(FA y )∩AR(YA x )]/NUM[EM(FA y )∪AR(YA x )]}+NUM[AR(YA x )-EM(FA y )∩AR(YA x )]*NUM[EM(FA y )-EM(FA y )∩AR(YA x )]/NUM 2 [EM(FA y )∪AR(YA x )]
wherein, CD (FA y →YA x ) Representing any one non-abnormal construction link FA y Correlation YA with any abnormal construction link x ，NUM[EM(FA y )∩AR(YA x )]、NUM[EM(FA y )∪AR(YA x )]、NUM[AR(YA x )-EM(FA y )∩AR(YA x )]And NUM [ EM (FA) y )-EM(FA y )∩AR(YA x )]Respectively represent sets EM (FA y )∩AR(YA x ) Number of danger sources of middle construction, aggregate EM (FA y )∪AR(YA x ) Number of danger sources for middle construction, set AR (YA x )-EM(FA y )∩AR(YA x ) Number and aggregate of hazard sources for medium construction EM (FA y )-EM(FA y )∩AR(YA x ) The number of dangerous sources for middle construction;
step S303: calculating the association degree of any non-abnormal construction link and each abnormal construction link, and associating the abnormal construction link with the non-abnormal construction link when the association degree is maximum; safety linkage supervision using abnormal construction link The center of the pipe is to be connected with an abnormal construction link YA x All non-abnormal construction links associated generate a safety supervision linkage set, denoted as LS (YA x )。
5. The engineering safety supervision method based on artificial intelligence according to claim 4, wherein the implementation process of step S400 includes:
step S401: in the process of engineering implementation, acquiring engineering implementation log record conditions in real time, and positioning to construction links which are in operation, implemented and not implemented according to the engineering implementation log record conditions; locking the safety supervision linkage set according to the construction links which are in operation, implemented and not implemented respectively, and generating an in-operation locking set SLD (LS), an implemented locking set YLD (LS) and an un-implemented locking set WLD (LS) respectively;
step S402: according to the working locking set SLD (LS), the implemented locking set YLD (LS) and the non-implemented locking set WLD (LS), the real-time security supervision level value is calculated according to the following specific calculation formula:
SSL={NUM[WLD(LS)∩SLD(LS)]-NUM[YLD(LS)∩SLD(LS)]}/NUM[SLD(LS)]
wherein SSL represents a real-time security supervision level value, NUM [ WLD (LS) ≡sld (LS) ], NUM [ YLD (LS) ≡sld (LS) ] and NUM [ SLD (LS) ] represent the number of security supervision linkage sets contained in the sets WLD (LS) ≡sld (LS), YLD (LS) ≡sld (LS) and SLD (LS), respectively;
Outputting the real-time safety supervision level.
6. An artificial intelligence based engineering safety supervision system, the system comprising: the system comprises a construction design information overall module, a risk assessment classification module, a correlation analysis module and a safety supervision grade analysis module;
the construction design information overall module is used for acquiring construction design information, overall planning construction links, safety measures and construction dangerous sources according to the construction design information, and generating a safety measure set and a construction dangerous source set;
the risk evaluation classification module is used for performing risk evaluation analysis on the construction links according to the safety measure set and the construction risk source set and calculating the risk value of the construction links; according to the risk value of the construction links, carrying out abnormal classification analysis on the construction links, and dividing the construction links into abnormal construction links and non-abnormal construction links;
the association analysis module is used for analyzing the association between the abnormal construction links and the non-abnormal construction links according to the classification result and calculating the association degree between the abnormal construction links and the non-abnormal construction links; according to the association degree, taking an abnormal construction link as a safety linkage supervision center to generate a safety supervision linkage set;
The safety supervision level analysis module is used for positioning the working, implemented and not implemented in the construction link according to the logging condition of the engineering implementation log and respectively generating a working locking set, an implemented locking set and a not implemented locking set by combining the safety supervision linkage set; and calculating a real-time safety supervision level value according to the working locking set, the implemented locking set and the non-implemented locking set, and outputting the real-time safety supervision level.
7. An artificial intelligence based engineering safety supervision system according to claim 6, wherein: the construction design information overall module further comprises a construction design information acquisition unit and a construction design information overall unit;
the construction design information acquisition unit is used for acquiring construction design information, wherein the construction design information comprises construction links, safety measures and construction hazard sources, one construction link corresponds to at least one safety measure, and one safety measure corresponds to at least one construction hazard source;
the construction design information overall unit is used for marking any construction link as A i Generating a safety measure set by all safety measures correspondingly contained in any construction link, and recording as SM (A) i )={SM 1 ，SM 2 ，...，SM k -a }; any one security measure is denoted as SM j Correspondingly including any one security measureGenerates a construction hazard set, denoted CHS (SM j )={CHS 1 ，CHS 2 ，...，CHS P -a }; wherein i represents a construction link number, j represents a safety measure number, and SM 1 ，SM 2 ，...，SM k Represents, respectively, 1, 2..k safety measures, CHS 1 ，CHS 2 ，...，CHS P Respectively represent the 1 st, 2 nd.
8. An artificial intelligence based engineering safety supervision system according to claim 7, wherein: the risk assessment classification module further comprises a risk assessment unit and an abnormality classification unit;
the risk assessment unit carries out risk assessment on any construction link according to a construction hazard source and safety measures, calculates a risk value of the construction link, and a specific calculation formula is as follows:
RV(A i )=∑ j=1 k ∑ v=1 p {(p j /TN)*[NUM j (CHS v )/k i ]}
wherein RV (A) i ) Represents any one construction link A i Risk value, p j Represents a construction hazard set CHS (SM j ) The number of construction dangerous sources contained in the concrete is TN which represents any one construction link A i Total number of construction hazard sources contained and TN= Σ j=1 k p j ，p j =p，NUM j (CHS v ) Represents any construction hazard source CHS v Appears in the construction hazard source set CHS (SM j ) Total number, k, of other construction hazard source sets i Representing a Security measures set SM (A i ) Number of security measures contained in and k i =k；
The abnormal classification unit performs abnormal classification on the construction links according to the risk values of the construction links, and calculates an abnormal fluctuation value of any construction link, wherein a specific calculation formula is as follows:
EU(A i )=(2πα) -1/2 *exp{-[RV(A i )-β] 2 /(2α)}
wherein EU (A) i ) Represents any one construction link A i Alpha and beta respectively represent the mean value and the variance of the risk value of the construction link;
presetting an abnormal fluctuation value threshold, if the abnormal fluctuation value EU (A) i ) If the abnormal fluctuation value threshold value is larger than or equal to the abnormal fluctuation value threshold value, classifying any one construction link as an abnormal construction link, otherwise classifying any one construction link as a non-abnormal construction link.
9. An artificial intelligence based engineering safety supervision system according to claim 8, wherein: the association analysis module further comprises an association degree calculation unit and an association analysis unit;
the association degree calculating unit is used for marking any abnormal construction link as YA x Any non-abnormal construction link is marked as FA y The method comprises the steps of carrying out a first treatment on the surface of the For any abnormal construction link YA x All construction hazard sources included are counted and an abnormal reference set is generated, and the abnormal reference set is recorded as AR (YA x ) For any non-abnormal construction link FA y All construction hazard sources contained are counted and an abnormal matching set is generated and recorded as EM (FA y ) The method comprises the steps of carrying out a first treatment on the surface of the According to the abnormal reference set and the abnormal matching set, calculating the association degree between any one non-abnormal construction link and any one abnormal construction link, wherein the specific calculation formula is as follows:
CD(FA y →YA x )={NUM[EM(FA y )∩AR(YA x )]/NUM[EM(FA y )∪AR(YA x )]}+NUM[AR(YA x )-EM(FA y )∩AR(YA x )]*NUM[EM(FA y )-EM(FA y )∩AR(YA x )]/NUM 2 [EM(FA y )∪AR(YA x )]
wherein, CD (FA y →YA x ) Representing any one non-abnormal construction link FA y Correlation YA with any abnormal construction link x ，NUM[EM(FA y )∩AR(YA x )]、NUM[EM(FA y )∪AR(YA x )]、NUM[AR(YA x )-EM(FA y )∩AR(YA x )]And NUM [ EM (FA) y )-EM(FA y )∩AR(YA x )]Respectively represent sets EM (FA y )∩AR(YA x ) Number of danger sources of middle construction, aggregate EM (FA y )∪AR(YA x ) Number of danger sources for middle construction, set AR (YA x )-EM(FA y )∩AR(YA x ) Number and aggregate of hazard sources for medium construction EM (FA y )-EM(FA y )∩AR(YA x ) The number of dangerous sources for middle construction;
the association analysis unit is used for calculating the association degree of any one non-abnormal construction link and each abnormal construction link, and associating the abnormal construction link with the non-abnormal construction link when the association degree is maximum; the abnormal construction link is taken as a safety linkage supervision center and is matched with the abnormal construction link YA x All non-abnormal construction links associated generate a safety supervision linkage set, denoted as LS (YA x )。
10. An artificial intelligence based engineering safety supervision system according to claim 9, wherein: the safety supervision level analysis module further comprises a construction link real-time state sensing unit and an artificial intelligent real-time safety supervision unit;
The construction link real-time state sensing unit is used for acquiring the engineering implementation log record condition in real time in the engineering implementation process and positioning the construction links which are in operation, implemented and not implemented according to the engineering implementation log record condition; locking the safety supervision linkage set according to the construction links which are in operation, implemented and not implemented respectively, and generating an in-operation locking set SLD (LS), an implemented locking set YLD (LS) and an un-implemented locking set WLD (LS) respectively;
the artificial intelligent real-time safety supervision unit calculates a real-time safety supervision grade value according to an ongoing operation locking set SLD (LS), an implemented locking set YLD (LS) and an un-implemented locking set WLD (LS), and the specific calculation formula is as follows:
SSL={NUM[WLD(LS)∩SLD(LS)]-NUM[YLD(LS)∩SLD(LS)]}/NUM[SLD(LS)]
wherein SSL represents a real-time security supervision level value, NUM [ WLD (LS) ≡sld (LS) ], NUM [ YLD (LS) ≡sld (LS) ] and NUM [ SLD (LS) ] represent the number of security supervision linkage sets contained in the sets WLD (LS) ≡sld (LS), YLD (LS) ≡sld (LS) and SLD (LS), respectively;
outputting the real-time safety supervision level.
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